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Related Concept Videos

Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

46
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
46
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

39
IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Ultrasonography01:17

Ultrasonography

4.7K
Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Related Experiment Video

Updated: Aug 21, 2025

Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound
07:29

Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound

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Ultra-Widefield OCT Angiography.

M Niederleithner, L de Sisternes, H Stino

    IEEE Transactions on Medical Imaging
    |November 16, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Ultra-widefield Optical Coherence Tomography Angiography (OCTA) now captures 90-degree retinal views, matching traditional methods. A new deep learning algorithm enhances image quality for diagnosing diseases like diabetic retinopathy.

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    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
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    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

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    Area of Science:

    • Ophthalmology
    • Medical Imaging
    • Biomedical Engineering

    Background:

    • Optical Coherence Tomography Angiography (OCTA) is a less invasive alternative to fluorescein angiography (FA) for retinal imaging.
    • Current OCTA systems have a limited field of view compared to ultra-widefield fundus photography, hindering early detection of peripheral retinal diseases.

    Purpose of the Study:

    • To develop and validate an ultra-widefield OCTA system with enhanced speed and resolution.
    • To introduce a novel deep learning algorithm for denoising OCTA data to improve image quality.

    Main Methods:

    • A custom-built, high-speed swept-source OCT (SS-OCT) system was developed, achieving acquisition rates 8-16 times faster than current devices.
    • Ultra-widefield imaging was achieved by merging two 60-degree single-shot scans, creating a field of view up to 90 degrees.
    • A 3D deep learning algorithm was implemented for volumetric denoising of OCTA datasets.

    Main Results:

    • The developed SS-OCT system successfully captured ultra-widefield (up to 90 degrees) OCTA images with high sampling density and resolution.
    • The deep learning algorithm effectively reduced noise in volumetric OCTA data, enhancing visual quality.
    • Initial imaging performance and clinical usability were demonstrated in patients with diabetic retinopathy.

    Conclusions:

    • The custom ultra-widefield OCTA system significantly expands the field of view, addressing a key limitation of current OCTA technology.
    • The integrated deep learning denoising algorithm improves the quality of OCTA angiograms, aiding in the diagnosis of peripheral retinal pathologies.
    • This advanced OCTA approach shows promise for comprehensive retinal examination and diagnosis, particularly for diseases like diabetic retinopathy.